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> "In our academic lab, if we knew how to be faster, more rigorous, or both, we'd be doing it." There are some cases where it's obvious how to be faster (and o
by rflrob 11y ago
> "In our academic lab, if we knew how to be faster, more rigorous, or both, we'd be doing it."
There are some cases where it's obvious how to be faster (and occasionally more rigorous): judiciously throw money at the problem. In academia, where grant funding is pretty limited and equipment is expensive, you probably want to only have enough infrastructure for, say, the 50th-90th percentile of load (microscopes, thermocyclers, analysis compute power, what have you), and accept that 10-50% of the time there will be a queue. If the difference between being successful in the market and having your lunch eaten by someone else truly is a matter of weeks, then it makes sense to you and your investors to put some extra money into a widget that will sit idle for most of the time but that helps when things are crunched.
That said, money can't fix everything---9 women can't produce a baby in one month!
- justlurkin 11y ago> 9 women can't produce a baby in one month! > Then you're just not thinking hard enough! - My boss
- vacri 11y ago'Rigour' in the article means 'intensity'. 'Rigour' in science means 'validity'. A study with high rigour means that they've nailed down more loose ends than a study with low rigour. The two concepts are largely orthogonal - and it's disturbing that someone telling scientists what to do has used the wrong version of 'rigour' for that industry. Ironically, using the 'rigour' of science, startups require much less rigour - startups just need something that works enough, not something that is as correct as can be done.